An off-line character recognition method employing model-dependent pattern normalization by an elastic membrane model
- 1 January 1999
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
This paper proposes a model-dependent pattern normalization method that employs an elastic membrane model to absorb pattern deformation in handwritten character patterns. This method prepares an elastic membrane from an input pattern and induces model-dependent pattern normalization by placing the membrane on each potential field representing a standard pattern. We composed a recognition system from non-linear normalization, coarse classification, model-dependent normalization and fine classification, then show that the system with the model-dependent normalization is more effective than that without it for both the ETL off-line handwritten character patterns database and the HANDS on-line patterns database.Keywords
This publication has 5 references indexed in Scilit:
- Classification of handprinted Chinese characters using nonlinear normalization and correlation methodsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- On-line handwritten character pattern database sampled in a sequence of sentences without any writing instructionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Shape matching using LAT and its application to handwritten numeral recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Recognition of handwritten character database ETL9B using pattern transformation methodSystems and Computers in Japan, 1994
- A nonlinear normalization method for handprinted kanji character recognition—line density equalizationPattern Recognition, 1990